[1]} showed that the small size convolutions with a preferred 3x3 filter size for large depth CNN networks come up significantly accurate over CNN architectures proposed by [2]} and [3]}. Whereas a large number of parameters due to small convolutions incurs a high computational cost in comparison to prior-art configurations.
